10405 results about "Hydrogen production" patented technology

The invention discloses an operation state monitoring method and system for AEM water electrolysis hydrogen production equipment, particularly relates to the technical field of electrolytic bath operation monitoring control, and aims to solve the problem of efficiency nonlinear fluctuation caused by polarization mode alternating dominance and microstructure degradation under a low current density working condition in the prior art. Extracting polarization fluctuation characteristics by generating a dynamic response sequence and calculating a dynamic coupling degree to identify a polarization alternating dominant mode; analyzing a local blocking probability based on frequency characteristics, positioning an active site sparse region in combination with temperature gradient spatial distribution characteristics, and generating an efficiency fluctuation evaluation coefficient; an active site sparse region and a dynamic compensation factor matrix of a cathode flow field pressure gradient are constructed to cooperatively adjust an anode current density distribution weight and a cathode pressure gradient parameter, so that an adjusting variable is accurately matched with a local blocking probability and a dynamic coupling degree; the multi-scale correlation analysis of the microcosmic degradation state and the macroscopic efficiency fluctuation of the electrolytic cell is realized, and the operation stability under the low current density is remarkably improved.

The present invention provides a wind power off-grid hydrogen production power supply topology and control method without a step-down transformer, including: obtaining wind speed data, using a wavelet threshold algorithm for denoising, predicting power based on an LSTM-GRU hybrid neural network, and extracting power fluctuation characteristics through multi-scale entropy analysis; obtaining load data, using Kalman filtering and recursive least squares to establish an impedance model, and extracting dynamic characteristics in combination with Hilbert transform; using a differential evolution algorithm for multi-objective optimization to generate an optimal switching sequence and power allocation strategy; achieving system control through space vector modulation, balanced control, soft switch control and harmonic compensation; achieving state estimation and disturbance suppression based on a sliding mode observer and a nonlinear observer; and achieving fault diagnosis and protection using a deep belief network. The present invention improves system efficiency and reliability and improves dynamic performance.

The invention discloses a pipe network health real-time monitoring system and an evaluation method. According to the invention, through real-time health monitoring and dynamic deduction capability, the flexibility and safety of energy supply are significantly improved. The healthy twin module constructs a digital mirror image of the full life cycle of energy equipment, solar hydrogen production efficiency fluctuation, hydrogen storage tank pressure change and fuel cell attenuation trend can be accurately tracked, and risk points such as electrolytic cell abnormal hydrogen evolution and proton exchange membrane aging can be recognized in advance. The all-weather transparent monitoring enables the system to dynamically adjust the ratio of hydrogen production to power generation, the fuel cell is automatically switched to supply power in cloudy and rainy days, continuous energy supply is guaranteed, and the system can generate a coping plan in advance by simulating extreme scenes such as sudden drop of photovoltaic output and hydrogen leakage, so that the system is convenient to use. The energy interruption risk caused by sudden equipment failure is greatly reduced, meanwhile, the service life of key components is prolonged, the maintenance cost of a distributed energy network is reduced, and meanwhile the overall energy efficiency utilization rate is also improved.

The invention discloses a DC bus voltage fluctuation suppression method of a renewable energy hydrogen production system, and relates to the technical field of renewable energy electrolysis hydrogen production. The method comprises the following steps: collecting system operation parameters in real time; bus voltage disturbance power is estimated based on a disturbance observer, and frequency decomposition is carried out; fusing the ARIMA model and the LSTM model to predict the load power, and calculating a prediction deviation; dynamically setting upper and lower limits of a bus voltage control interval according to the predicted deviation and the operation state; a multi-objective optimization function is constructed, bus voltage disturbance power, prediction deviation and a control limit value are comprehensively considered, and power regulation instructions of battery energy storage, a fuel cell and an electrolytic cell are solved; and executing power regulation control to realize bus voltage stabilization. The method can improve the grading response capability of voltage disturbance, the prediction accuracy of load power change, the adaptability of the control boundary and the overall operation stability of the system, and is suitable for the electric energy quality control of the hydrogen production system in a multi-source fluctuation scene.

The invention relates to the technical field of hydrogen production, in particular to a micro-grid hydrogen production system based on dynamic optimization control and a multi-mode energy scheduling method. Comprising a renewable energy power generation unit which comprises at least two distributed power supplies with different power generation characteristics; the multi-stage hydrogen production device is configured to receive the electric energy output of the renewable energy power generation unit and perform proton exchange membrane water electrolysis hydrogen production; the hybrid energy storage system comprises a super capacitor bank and a lithium ion battery pack which are connected in parallel to the direct current bus through a bidirectional DC / DC converter; the dynamic optimization controller is internally provided with a multi-time-scale coordination algorithm and is used for acquiring meteorological prediction data, load demand data and an energy storage SOC state in real time; the multi-mode scheduling module comprises three working modes including an island operation mode, a grid-connected operation mode and an emergency standby mode; according to the scheme, hydrogen production economy, equipment durability and power supply reliability can be considered at the same time.

The invention provides a minute-level intelligent scheduling method and system for hydrogen-based energy prepared from renewable energy, and relates to the technical field of energy management and intelligent scheduling, and the method comprises the steps: obtaining data of power generation equipment, hydrogen production equipment and a hydrogen storage system, adaptively adjusting the length of a dynamic time window based on the power generation fluctuation frequency, and generating a fluctuation feature sequence; and constructing a minute-level intelligent scheduling model, optimizing a hydrogen production power regulation instruction by utilizing a mutual feedback correction parameter, calculating an optimal power transfer path when an abnormality is detected, and executing stepped load reduction turn-off. The operation stability of the hydrogen production system can be improved, efficient utilization of generated power is achieved, and the operation risk of the system is reduced.

The invention provides an electricity-hydrogen coupling intelligent regulation and control method and system considering a wind-solar prediction error, and relates to the technical field of electric power, and the method comprises the steps: collecting wind-solar historical power generation data, and obtaining prediction error probability distribution based on adaptive combination kernel density estimation; the distribution serves as an uncertainty constraint, a dual neural network is adopted to execute deep reinforcement learning, an action value network dynamically adjusts a decision space, and a target network evaluates risks and restrains decisions based on conditional risks and state values; a distributed collaborative network is constructed, and hydrogen production power and hydrogen desorption power are controlled in real time based on a dynamic consistency theory and a synchronous potential function. The operation stability and economical efficiency of the electricity-hydrogen coupling system are improved, and the uncertainty of wind and light power generation is effectively dealt with.

The invention relates to the technical field of hydrogen production, in particular to a bipolar plate runner structure-mass transfer efficiency parameter simulation optimization method. Comprising the steps that a flow channel structure is designed, specifically, a bipolar plate flow channel is constructed through a fractal tree-shaped network topological structure, the flow channel is composed of multiple stages of branch channels, the section size of each stage of branch channel is decreased progressively according to a self-similarity proportion, and a three-dimensional flow channel network with fractal dimensions is formed; multi-physics field coupling modeling: establishing a multi-physics field coupling model including fluid flow, electrochemical reaction and heat and mass transfer based on computational fluid mechanics and a finite element method, wherein the model considers a turbulence effect in a flow channel, interface impedance of a porous medium diffusion layer and reaction kinetic parameters at the same time; parameter sensitivity analysis: screening key parameters influencing mass transfer efficiency through orthogonal test design, including flow channel fractal dimension, branch angle, porosity and surface wettability parameters, and constructing a parameter response curved surface; the flow channel structure of the bipolar plate can be accurately optimized, and the mass transfer efficiency is effectively improved.

The invention relates to an optimization method of an alkaline water electrolysis hydrogen production system based on multi-parameter cooperative control. The method comprises the following steps: acquiring real-time power and historical output data of renewable energy sources, environmental parameters and operation data of an electrolytic cell, and preprocessing the real-time power and historical output data, environmental parameters and operation data of the electrolytic cell; constructing a fusion renewable energy fluctuation prediction model, and inputting historical output data, environmental parameters and electrolytic cell operation data into the model to predict renewable energy fluctuation characteristics; establishing a wind-light output prediction model, and determining an optimal current density interval based on the real-time power of the renewable energy and the wind-light output prediction model; correcting the real-time electrolyte concentration by adopting a conductivity-pH dual channel, constructing a concentration-current two-dimensional compensation model, and inputting the corrected real-time electrolyte concentration into the model to obtain a target electrolyte concentration; and dynamically adjusting related parameters of the hydrogen production system, calculating a self-adaptive threshold value of the system, determining a grading response threshold value based on the self-adaptive threshold value, and controlling the hydrogen production system to operate. And high-efficiency hydrogen production and stable operation of the system are realized.

The invention discloses a one-key starting system and method for an alkaline water electrolysis hydrogen production device, the system comprises a control system and a one-key starting control unit, and the control system is connected with the one-key starting control unit; the one-key start control unit comprises a standby panel soft button, a start panel soft button, a make-up pump selection soft button and a drainage panel soft button; therefore, the whole starting process of the alkaline water electrolysis hydrogen production device is subjected to sequential control integration, a safe and efficient one-key starting scheme with high automation degree is formed, safety risks in the manual starting process are avoided, manpower is saved, the labor cost is reduced, meanwhile, the starting time is shortened, unnecessary energy waste in the starting process is reduced, and the starting efficiency is improved. Therefore, the problems that the starting speed of the cluster electrolytic cell is low and the starting operation difficulty of the cluster electrolytic cell is high due to human factors in a large-scale electrolytic hydrogen production project are solved.

The invention relates to the technical field of hydrogen energy, and discloses an auxiliary-machine-free solid oxide electrolytic hydrogen production system and an auxiliary coal electricity deep adjustment method, the hydrogen production system comprises an SOE heat box system for electrolytic hydrogen production, a hydrogen circulation subsystem and a hydrogen storage subsystem; the ejector is driven by external heat source steam, part of hydrogen at an outlet of the SOE heat box system is ejected to a low-pressure suction inlet of the ejector through the hydrogen circulation subsystem, and formed reducing mixed gas of steam and hydrogen enters a cathode inlet of the SOE heat box system. The system is driven by an external heat source and operates in an internal stack heating mode, so that the power consumption of the electrolytic hydrogen production system is reduced; by adopting the modes of external material supply, cathode ejector material self-circulation and multi-stream heat exchange, a complex cold and hot auxiliary machine of a traditional solid oxide electrolytic hydrogen production system is omitted, the structure is simple, and the system compactness is greatly improved; electric power-steam-air-condensed water flow coupling is established with a coal-fired power plant, and efficient, flexible and deep peak shaving is adjusted in combination with steam extraction multi-stage adjustment.

The invention provides a flexible preparation system and method for sustainable aviation fuel, and the system comprises a green power supply module which is used for outputting fluctuating green electric energy; the process execution device is connected with the green power supply module and comprises five process modules, namely an air carbon capture module, a co-electrolysis module, a Fischer-Tropsch synthesis module, a hydrogen production module and a hydrogenation refining module; the data acquisition module is used for acquiring the temperature, the pressure, the liquid level, the raw material input flow and / or the product output flow of each process module in the process execution device; and the decision control module is used for predicting the future power supply condition of the green electricity based on the historical weather data of the green electricity location, adjusting the distribution of the power in each process module according to the future power supply condition, and adjusting the temperature, pressure and / or raw material input flow in each process module. According to the invention, the cost, the reliability, the operation and maintenance performance, the product quality and the green power utilization rate can be substantially improved at the same time, and the flexible and stable operation of the system under the green power condition is realized.

The invention provides a water electrolysis hydrogen production monitoring and control method with dynamic fluctuation adaptability, and relates to the technical field of hydrogen production. Comprising the steps that a multi-dimensional operation parameter set of an electrolytic cell is collected in real time through a multi-source sensor array, an electrolysis process prediction model is established based on the LSTM and the CNN neural network, and therefore the prediction result of the electrolysis state is determined. And according to the prediction result, a dynamic parameter adjustment matrix is constructed, and the electrolytic current density, the electrolyte concentration and other key parameters of the electrolytic cell are adjusted for the first time through fuzzy PID control. After adjustment, the multi-dimensional operation parameter set is updated, the health degree index of the electrolytic cell is calculated, and the relation between the index and a preset health index threshold value is monitored in real time. And second-time adjustment is carried out according to the monitoring result, so that safe and efficient operation of the electrolytic cell under the dynamic fluctuation condition is ensured. The problems that in the prior art, an electrolytic cell is slow in response to load change, insufficient in monitoring capacity, dependent on manual maintenance and the like are effectively solved.

The invention discloses a preparation process of a modified porous carbon material catalyst. The preparation process comprises the following steps: (1) mixing and calcining a biomass precursor and a template agent to prepare graded porous carbon; (2) low-frequency plasma pretreatment and high-frequency plasma fluorination modification are adopted; (3) introducing the pulse plasma into a nitrogen doping site; (4) spraying ionic liquid and activating H2 plasma to form a B / F co-doped layer; and (5) loading alloy nanoparticles such as PtRu through pulse electrodeposition. According to the obtained catalyst, biomass derived porous carbon serves as a carrier, a fluorine / nitrogen co-doped active layer is constructed on the surface of the carrier through multi-frequency plasma synergistic modification and ionic liquid auxiliary modification, superfine precious metal nanoparticles are loaded, the hydrogen evolution overpotential of the catalyst is smaller than or equal to 28 mV under the current density of 10 mA / cm < 2 >, the activity attenuation is smaller than 5% after 1000 times of circulation, and the catalyst has a good catalytic activity. The water electrolysis hydrogen production device is suitable for a large-scale water electrolysis hydrogen production device.

The invention provides an alkaline electrolytic water hydrogen production diaphragm based on zirconium oxide modification, the alkaline electrolytic water hydrogen production diaphragm comprises a support layer and a hydrophilic modified coating on the support layer, the hydrophilic modified coating is obtained by coating the support layer with a casting liquid prepared from modified zirconium oxide particles, a film-forming polymer and an organic solvent and then carrying out non-solvent induced phase inversion, the modified zirconium oxide particles are prepared by adding micron-sized zirconium oxide and alkali liquor into a ball mill for ball milling, and the particle size of the zirconium oxide subjected to ball milling treatment is 20-100nm. According to the method, the structure of the micron-sized zirconium oxide particles is regulated and controlled by combining a ball milling-alkali etching synchronous process. Through combination of ball milling treatment and alkali etching treatment, the dispersion degree and the reaction opportunity of the zirconium oxide powder can be effectively improved, and the efficiency of the etching process is remarkably improved. The obtained modified zirconium oxide particles endow the diaphragm with excellent hydrophilicity, alkali resistance and OH <-> ion conduction performance, and the diaphragm has excellent performance when being used as an alkaline electrolytic water hydrogen production diaphragm.

The invention relates to the technical field of new energy consumption, and discloses a new energy consumption calculation method considering a hydrogen production process, and the method comprises the steps: building a hydrogen production coupling model which comprises a new energy power generation power prediction sub-model and a hydrogen production efficiency dynamic sub-model, and obtaining a new energy power generation prediction value and a hydrogen production real-time efficiency coefficient; designing a multi-energy collaborative optimization framework, and generating a scheduling scheme based on a dynamic game theory algorithm; executing a dynamic correction strategy, and adjusting the scheme according to real-time conditions; and establishing a data feedback mechanism, and collecting data to update model parameters. According to the method, the accuracy of new energy consumption measurement and calculation is improved, multi-energy collaborative scheduling is optimized, the dynamic adaptability of the system is enhanced, model self-optimization is realized, the cost can be effectively reduced, wind curtailment and light curtailment are reduced, and remarkable economic benefits and environmental benefits are achieved.

The invention provides an efficient and stable ship hybrid power generation system which comprises a hydrogen production unit and an ammonia supply system, and the hydrogen production unit comprises an ammonia decomposer, a hydrogen separator, a high-pressure hydrogen storage tank, a fuel cell and an ammonia-hydrogen internal combustion engine. The ammonia decomposer enables the ammonia flow to enter the ammonia decomposer in a segmented constant mode for catalytic decomposition through four set working conditions; the hydrogen separator is used for separating and purifying the generated mixed gas, and the separated and purified hydrogen is respectively fed into the fuel cell and the ammonia-hydrogen internal combustion engine through valves for power generation; the molten salt system recycles high-temperature tail gas of the ammonia-hydrogen internal combustion engine through the heat exchanger for heat energy storage and power generation through the steam Rankine cycle system. The regulation and control method is used for stabilizing the system and prolonging the service life of equipment by limiting the dynamic loading rate and start-stop times of the fuel cell and the ammonia-hydrogen internal combustion engine, and is used for waste heat recovery power generation through the molten salt and the steam expansion machine, so that the efficiency of the system is improved.

The invention relates to the technical field of comprehensive application of renewable energy sources and hydrogen energy, in particular to a wind-solar-hydrogen multi-energy complementary intelligent scheduling platform. According to the technical scheme, the wind-light-hydrogen multi-energy complementary intelligent scheduling platform comprises a wind-light power generation unit which monitors wind power and photovoltaic power fluctuation in real time; the hybrid energy storage unit comprises a super capacitor and a flywheel for energy storage and respectively responds to millisecond-level and second-level power fluctuations; the hydrogen energy subsystem comprises an electrolytic hydrogen production device, a hydrogen storage tank and a fuel cell and responds to minute-level power scheduling; and the multi-time scale controller is configured to execute millisecond-level, second-level and minute-level cooperative control and dynamically match the wind-light fluctuation and the hydrogen energy response speed. According to the method, through multi-time scale dynamic cooperative control, the matching problem between the wind-solar power generation volatility and the hydrogen energy response lag is effectively solved, and seamless connection between second-level high-frequency fluctuation suppression and minute-level energy scheduling is achieved.

The invention relates to the technical field of hydrogen preparation, and provides a hydrogen storage device based on a solid hydrogen storage material and a hydrogen production method thereof.The device comprises a fuel tank internally provided with a reaction cavity used for containing an aluminum hydride material and mixed powder; the heater is arranged on the outer side of the fuel tank; the first end of the water recycling assembly is communicated with the reaction cavity, and the second end of the water recycling assembly is communicated with the fuel cell system so as to recycle water generated by the fuel cell system to the reaction cavity; the first end of the hydrogen discharging assembly is communicated with the reaction cavity, and the second end is communicated with a fuel cell system. According to the hydrogen storage device provided by the invention, through the application of the high-specific-energy solid hydrogen storage material aluminum hydride which can be stored at normal pressure and release hydrogen at a relatively low temperature, the thermal decomposition process of the metal hydride in the fuel tank and the coupling reaction process of the metal hydride and water are optimized, and the hydrogen is produced by utilizing the hydrolysis reaction of the aluminum hydride thermal decomposition reactant simple substance aluminum and the water; meanwhile, thermal decomposition of aluminum hydride is promoted through heat released by hydrolysis reaction, hydrogen release is coupled, and effective utilization of heat is achieved.

The invention discloses a photovoltaic hydrogen production power supply topological structure based on MPPT and a control method, and relates to the technical field of renewable energy electrolysis hydrogen production, and the photovoltaic hydrogen production power supply topological structure mainly comprises a photovoltaic power module, a direct current bus, a water electrolysis hydrogen production unit, an energy storage unit and a control unit. The photovoltaic power modules are connected in parallel to the direct current bus through the independent DC / DC converter, and are matched with the automatic identification and scheduling functions of the control unit, the system operation strategy is automatically adjusted when the modules are newly added or faults exit, and plug-and-play, fault isolation and power reconstruction of the photovoltaic power modules can be supported; the duty ratio change step length of the DC / DC converter is limited when the current rapidly fluctuates due to the change of the photovoltaic output power, the current change rate of the electrolytic cell stack is effectively controlled, the service life protection of the electrolytic cell can be considered, the high modular access capability is achieved, multi-source collaborative scheduling is supported, and bus voltage stabilization and system current sharing optimization can be achieved.

The invention relates to the technical field of hydrogen production, in particular to a quick response system of a double-probe hydrogen leakage explosion detector and a grading early warning method. Comprising a first hydrogen concentration detection probe and a second hydrogen concentration detection probe which are respectively arranged at two different positions of a monitored area to form a space complementation detection network; the signal processing unit is electrically connected with the two probes and is used for receiving and processing the concentration signals output by the probes; the quick response control module is used for calculating the hydrogen concentration change rate in real time based on an output result of the signal processing unit; the grading early warning module is used for generating different grades of early warning signals according to the hydrogen concentration change rate and the absolute concentration value; the communication interface module is used for transmitting the early warning signal to a remote monitoring terminal; the multi-physical-field parameter change of the electrolyte can be sensed in real time, the control instruction is dynamically corrected, and the anti-interference capability is high.

The invention discloses a fuel cell coupled flow battery energy supply system and an operation control method thereof. The energy supply system comprises a basic energy supply unit, an energy storage peak regulation unit, a renewable energy power generation unit, an electrolytic hydrogen production unit, a hydrogen storage unit, a first-stage waste heat recycling unit, a second-stage waste heat recycling unit and a heat storage unit. The basic energy supply unit is used for providing a basic power load of the target building group; the energy storage peak regulation unit is used for providing fluctuation power load of the target building group; the first-stage waste heat recycling unit receives first-stage waste heat generated by power generation of the fuel cell and is used for indoor heating or indoor refrigeration. And the second-stage waste heat recycling unit directly receives the first-stage waste heat or second-stage waste heat from the first-stage waste heat recycling unit and is used for preheating the electrolyzed water and / or the hydrogen storage unit. By arranging the first-stage waste heat recycling unit and the second-stage waste heat recycling unit, waste heat is utilized in a multi-stage mode according to requirements, and the waste heat utilization rate is high.

A wind-photovoltaic ratio system optimization configuration method for a new energy hydrogen production park, the method comprising the steps of: S1) calculating an output time series of local wind power and photovoltaic power generation, and analyzing wind power and photovoltaic output characteristics and a wind-photovoltaic correlation; S2) establishing equivalent device models of a hydrogen energy storage unit and an electrochemical energy storage unit to form an electric bus power balance and hydrogen bus power balance relationship, and taking the minimization of a full life cycle cost as an objective function and taking into consideration constraint conditions such as the power balance, device operation characteristics and a land restriction to establish a system planning optimization configuration model for a new energy hydrogen production park, which model takes a wind-photovoltaic ratio into consideration; S3) integrating the objective function and the constraint conditions to obtain a system planning and optimization configuration scheme for the new energy hydrogen production park and the total system configuration cost; and S4) taking into consideration an electricity price factor and an energy storage operation characteristic constraint, performing annual hydrogen production timing operation simulation, and analyzing a park electricity purchase demand and a new energy consumption capacity under the present planning optimization configuration scheme.

The invention relates to the technical field of hydrogen production, in particular to an alkali supplementing system linkage control system based on a magnetic turning plate liquid level meter and a fault diagnosis method. Comprising a magnetic turning plate liquid level detection module installed on an alkali liquor storage tank and used for monitoring the liquid level of alkali liquor in real time and outputting a liquid level signal; the multi-mode signal processing unit is connected with the magnetic turning plate liquid level detection module and is used for carrying out feature extraction and noise suppression on the liquid level signal; the dynamic compensation control module is used for receiving the processed liquid level signal and generating a compensation control instruction according to the liquid level change rate and the alkali liquor temperature; the alkali supplementing valve linkage executing mechanism responds to the compensation control instruction and adjusts the flow output of an alkali supplementing pump; the anti-misjudgment core processor is integrated with three-level check logic, comprises time window trend analysis, multi-sensor data fusion and dynamic threshold self-adaptive adjustment, and is used for eliminating misjudgment interference of the liquid level signal; according to the scheme, the problem of signal distortion of an existing magnetic flap liquid level meter in a complex dynamic environment can be fundamentally solved.

The invention relates to the technical field of new energy storage regulation and control, and discloses an electricity-hydrogen coupling energy storage system and method for a new energy field station. The system comprises a feature analysis unit, a topology construction unit, a regulation and control domain positioning unit and a decision optimization unit. The feature analysis unit receives operation condition information of the new energy station, and generates a condition feature vector according to real-time load fluctuation, a historical output curve and an equipment operation database by using a deep feature extraction network; the topology construction unit constructs an energy topological graph for distributed energy storage equipment and hydrogen production equipment in the electricity-hydrogen coupling system, dynamically updates a graph structure and a node state based on a real-time monitoring mechanism, and deploys the graph structure and the node state in a heterogeneous computing framework; a regulation and control domain positioning unit positions a matched regulation and control domain in a dynamic representation learning mode according to the working condition feature vector; and the decision optimization unit utilizes a multi-source decision fusion algorithm to screen regulation and control instructions in a regulation and control domain and generate a scheduling sequence, so that the adaptability and the operation efficiency of the system to working conditions are improved.

The invention discloses a preparation method and application of an amorphous nickel-cobalt-iron phosphate anode catalyst, and belongs to the technical field of alkaline water electrolysis hydrogen production, the preparation method comprises the following steps: (1) dissolving transition metal salt in a solvent, and stirring to obtain a metal salt solution; (2) dissolving phosphate in a solvent, and stirring to obtain a phosphate solution; and (3) adding the phosphate solution into the metal salt solution for reaction, washing with deionized water and ethanol, centrifugally separating, and drying to obtain the amorphous nickel-cobalt-iron phosphate anode catalyst. According to the preparation method and application of the amorphous nickel-cobalt-iron phosphate anode catalyst, process safety improvement and environmental friendliness optimization are achieved through an all-water-phase green synthesis system, the obtained catalyst shows excellent performance in an AEM electrolytic cell, the cell voltage is only 1.87 V under the current density of 2 A / cm, and the method has remarkable industrial application prospects.

The invention discloses a hybrid hydrogen production system coupled with photovoltaic renewable energy and an optimal configuration method, and relates to the technical field of new energy utilization and energy storage control, and the hybrid hydrogen production system comprises a photovoltaic power generation unit, an alkaline water electrolytic tank unit, a proton exchange membrane electrolytic tank unit, a hydrogen storage unit, a control unit and the like. Photovoltaic electric energy is directly supplied to the two types of electrolytic cell stacks through the direct current bus, a traditional DC-DC power converter is omitted, and loss in the energy transmission process is reduced; and through a dynamic electrolytic cell switching algorithm configured by the control unit, the input proportion and the number of operation units of the two stacks are changed and adjusted in real time, and the quick response capability and the long-term stability are both considered. The system can stably produce hydrogen under the condition of renewable energy fluctuation, can dynamically adapt to input power change, can realize maximum power point tracking control on the premise of not using extra power conversion equipment, and remarkably reduces initial investment cost and operation energy consumption while ensuring hydrogen production efficiency.

The invention discloses a water electrolysis hydrogen production intelligent control system and method based on artificial intelligence. The system and method are suitable for a large-scale water electrolysis hydrogen production scene under the power supply condition of fluctuating renewable energy sources such as wind power and photovoltaic. The system comprises a data acquisition layer, an edge calculation layer, an intelligent control layer and an execution layer. Dynamic modeling of the running state of the hydrogen production system is achieved through multi-parameter real-time monitoring and feature extraction. The intelligent control layer fuses an LSTM prediction module and a reinforcement learning controller, the LSTM prediction module is used for predicting future renewable energy input and hydrogen demand trends, and the reinforcement learning controller calculates an optimal current density set value based on a prediction result so as to maximize hydrogen production efficiency per unit energy consumption. And meanwhile, a digital twinning technology and a safety protection mechanism are combined, thermoelectric dual regulation and control of the electrolysis process are achieved, and the control response speed and the system stability are improved. According to the invention, energy consumption can be effectively reduced, the service life of the stack is prolonged, and the operation efficiency and reliability of the hydrogen production system under complex load are improved.

The invention relates to the technical field of renewable energy hydrogen production and intelligent control, discloses a multi-target prediction control method and system based on an ALK-PEM hybrid electrolytic cell array, and solves the problems that in the prior art, wind and light power generation fluctuation cannot be deeply adapted, and hydrogen production economy, response speed and long-term reliability of equipment are difficult to consider. According to the scheme, the method comprises the following steps: obtaining wind-solar power generation power prediction data, and operating parameters and health state indexes of each ALK and PEM in a hybrid array to form a time sequence data set; a hybrid array prediction model based on data driving is constructed, a multi-target cost function is constructed by taking maximization of wind and light absorption, stable hydrogen production and minimization of equipment life loss as targets, rolling optimization is performed on the model, and an optimal power set point sequence of each electrolytic cell in a future preset time domain is solved; and in combination with the operating characteristic difference of the ALK and the PEM, a differential control instruction is generated and executed, and meanwhile, dynamic grouping management is performed on the hybrid array according to the wind-solar power prediction data and the health state of the electrolytic cell.

The utility model discloses an electrolytic bath bipolar plate with micropore flow channels and an electrolytic bath, a micropore flow channel network is arranged on the side surface of an anode of a plate body, and the micropore flow channel network comprises a plurality of groups of micropore flow channel units which are arranged at intervals along the width direction of the plate body; each micropore flow channel unit comprises a main flow channel arranged in the length direction of the plate body and a plurality of first-stage branch flow channels arranged in the length direction of the main flow channel at intervals, a plurality of short branch flow channels are arranged on the two sides of each first-stage branch flow channel at intervals, and a jet hole is formed in the top of each short branch flow channel. The jet flow holes are formed in the direction perpendicular to the side surface of the anode, the length of the short branch runner is smaller than that of the first-stage branch runner, and the short branch runner is perpendicular to the first-stage branch runner. And the microporous flow channel network adopts a structure of combining tree fractal and T-shaped nodes, so that the mass transfer uniformity of water flow in the microporous flow channels can be improved, and the water-membrane contact efficiency is improved, thereby ensuring the hydrogen production efficiency of the bipolar plate.